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Mathematics in Technology 1Laajuus (3 cr)

Code: AT00CH48

Credits

3 op

Teaching language

  • English

Responsible person

  • Päivi Porras

Objective

Student is able to:
- recognise different polynomial equations, functions, and polynomial graphics
- solve inequalities
- solve simultaneous equations with the software
- solve basic space vectors
- utilise space vectors
- solve exponential and logarithm functions

Enrollment

20.11.2023 - 05.01.2024

Timing

08.01.2024 - 31.05.2024

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Distance learning

Unit

Faculty of Technology (LAB)

Campus

E-campus, Lahti

Teaching languages
  • English
Seats

1 - 100

Degree programmes
  • Bachelor’s Degree Programme in Sustainable Solutions Engineering
Teachers
  • Päivi Porras
Scheduling groups
  • Verkkoluento 1 (Size: 0. Open UAS: 0.)
Groups
  • TLTISSE23SV
    Bachelor’s Degree Programme in Sustainable Solutions Engineering 23SV Lahti
Small groups
  • Online lecture 1

Learning outcomes

Student is able to:
- recognise different polynomial equations, functions, and polynomial graphics
- solve inequalities
- solve simultaneous equations with the software
- solve basic space vectors
- utilise space vectors
- solve exponential and logarithm functions

Implementation and methods of teaching

This course has online lectures based on timetable of Sustainability students in LAB University of Applied Sciences. Material in moodle can also be studied without attending the lectures.

Timing and attendance

Online lectures are on Tuesdays at 12.15pm - 2pm and on Wednesdays at 2.15pm - 4pm.

Learning material and recommended literature

will be announced at the beginning of the course

Contents

System of equations and matrices
Polynomial functions and inequalities
Geometry 3d
Vectors 3d (incl. directional cosines, dot product, and projection)
Exponential and logarithmic functions and equalities

Additional information for students: previous knowledge etc.

Basics of Mathematics in Technology or corresponding knowledge

Assessment criteria

will be discussed together

Assessment scale

1-5

Assessment criteria: level 1 (assessment scale 1–5)

The student is familiar with mathematical methods and is able to perform simple mechanical calculation tasks.

Assessment criteria: level 3 (assessment scale 1–5)

The student understands the requirements of mathematical methods and is able to apply basic mathematics to some extent in engineering tasks.

Assessment criteria: level 5 (assessment scale 1–5)

The student masters mathematical methods and is able to analyse mathematical tasks at the engineering level without problems.

Enrollment

20.11.2023 - 05.01.2024

Timing

01.01.2024 - 31.07.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology (LAB)

Campus

Lappeenranta Campus

Teaching languages
  • English
Degree programmes
  • Bachelor’s Degree Programme in Industrial Mechanical Engineering
Teachers
  • Juha Hyytiäinen
Scheduling groups
  • Lectures (Size: 0. Open UAS: 0.)
Groups
  • TLPRMEC23S
    Bachelor's Degree Programme in Industrial Mechanical Engineering 23S Lappeenranta
Small groups
  • Lectures

Learning outcomes

Student is able to:
- recognise different polynomial equations, functions, and polynomial graphics
- solve inequalities
- solve simultaneous equations with the software
- solve basic space vectors
- utilise space vectors
- solve exponential and logarithm functions

Implementation and methods of teaching

Contact lectures with Moodle assignments

Timing and attendance

Spring 24

Learning material and recommended literature

will be announced at the beginning of the course

Contents

System of equations and matrices
Polynomial functions and inequalities
Geometry 3d
Vectors 3d (incl. directional cosines, dot product, and projection)
Exponential and logarithmic functions and equalities

Additional information for students: previous knowledge etc.

Basics of Mathematics in Technology or corresponding knowledge

Assessment criteria

will be discussed together

Assessment scale

1-5

Assessment criteria: level 1 (assessment scale 1–5)

The student is familiar with mathematical methods and is able to perform simple mechanical calculation tasks.

Assessment criteria: level 3 (assessment scale 1–5)

The student understands the requirements of mathematical methods and is able to apply basic mathematics to some extent in engineering tasks.

Assessment criteria: level 5 (assessment scale 1–5)

The student masters mathematical methods and is able to analyse mathematical tasks at the engineering level without problems.

Enrollment

20.11.2023 - 05.01.2024

Timing

01.01.2024 - 31.07.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology (LAB)

Campus

Lappeenranta Campus

Teaching languages
  • English
Degree programmes
  • Bachelor's Degree Programme in Industrial Information Technology
Teachers
  • Juha Hyytiäinen
Scheduling groups
  • Luennot 1 (Size: 500. Open UAS: 0.)
Groups
  • TLPRIIT23S
    Bachelor's Degree Programme in Industrial Information Technology 23S Lappeenranta
Small groups
  • Lecture 1

Learning outcomes

Student is able to:
- recognise different polynomial equations, functions, and polynomial graphics
- solve inequalities
- solve simultaneous equations with the software
- solve basic space vectors
- utilise space vectors
- solve exponential and logarithm functions

Implementation and methods of teaching

Contact lectures with Moodle assignments

Timing and attendance

Spring 24

Learning material and recommended literature

will be announced at the beginning of the course

Contents

System of equations and matrices
Polynomial functions and inequalities
Geometry 3d
Vectors 3d (incl. directional cosines, dot product, and projection)
Exponential and logarithmic functions and equalities

Additional information for students: previous knowledge etc.

Basics of Mathematics in Technology or corresponding knowledge

Assessment criteria

will be discussed together

Assessment scale

1-5

Assessment criteria: level 1 (assessment scale 1–5)

The student is familiar with mathematical methods and is able to perform simple mechanical calculation tasks.

Assessment criteria: level 3 (assessment scale 1–5)

The student understands the requirements of mathematical methods and is able to apply basic mathematics to some extent in engineering tasks.

Assessment criteria: level 5 (assessment scale 1–5)

The student masters mathematical methods and is able to analyse mathematical tasks at the engineering level without problems.

Enrollment

21.11.2022 - 08.01.2023

Timing

09.01.2023 - 31.05.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology (LAB)

Campus

Lappeenranta Campus

Teaching languages
  • English
Degree programmes
  • Bachelor’s Degree Programme in Mechanical Engineering (2021, 2022, 2023)
Teachers
  • Päivi Porras
Scheduling groups
  • Mech (Size: 0. Open UAS: 0.)
  • atk (Size: 0. Open UAS: 0.)
Groups
  • TLPRMEC22S
Small groups
  • Mech
  • Lecture

Learning outcomes

Student is able to:
- recognise different polynomial equations, functions, and polynomial graphics
- solve inequalities
- solve simultaneous equations with the software
- solve basic space vectors
- utilise space vectors
- solve exponential and logarithm functions

Implementation and methods of teaching

Contact lectures with Moodle assignments

Learning material and recommended literature

will be announced at the beginning of the course

Contents

System of equations and matrices
Polynomial functions and inequalities
Geometry 3d
Vectors 3d (incl. directional cosines, dot product, and projection)
Exponential and logarithmic functions and equalities

Additional information for students: previous knowledge etc.

Basics of Mathematics in Technology or corresponding knowledge

Assessment criteria

will be discussed together

Assessment scale

1-5

Assessment criteria: level 1 (assessment scale 1–5)

The student is familiar with mathematical methods and is able to perform simple mechanical calculation tasks.

Assessment criteria: level 3 (assessment scale 1–5)

The student understands the requirements of mathematical methods and is able to apply basic mathematics to some extent in engineering tasks.

Assessment criteria: level 5 (assessment scale 1–5)

The student masters mathematical methods and is able to analyse mathematical tasks at the engineering level without problems.

Enrollment

21.11.2022 - 08.01.2023

Timing

09.01.2023 - 30.04.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology (LAB)

Campus

Lappeenranta Campus

Teaching languages
  • English
Degree programmes
  • Bachelor's Degree Programme in Industrial Information Technology
Teachers
  • Tommi Veijalainen
Scheduling groups
  • Luennot 1 (Size: 500. Open UAS: 0.)
Groups
  • TLPRIIT22S
Small groups
  • Luennot 1

Learning outcomes

Student is able to:
- recognise different polynomial equations, functions, and polynomial graphics
- solve inequalities
- solve simultaneous equations with the software
- solve basic space vectors
- utilise space vectors
- solve exponential and logarithm functions

Implementation and methods of teaching

Contact lectures with Moodle assignments

Learning material and recommended literature

will be announced at the beginning of the course

Contents

System of equations and matrices
Polynomial functions and inequalities
Geometry 3d
Vectors 3d (incl. directional cosines, dot product, and projection)
Exponential and logarithmic functions and equalities

Additional information for students: previous knowledge etc.

Basics of Mathematics in Technology or corresponding knowledge

Assessment criteria

will be discussed together

Assessment scale

1-5

Assessment criteria: level 1 (assessment scale 1–5)

The student is familiar with mathematical methods and is able to perform simple mechanical calculation tasks.

Assessment criteria: level 3 (assessment scale 1–5)

The student understands the requirements of mathematical methods and is able to apply basic mathematics to some extent in engineering tasks.

Assessment criteria: level 5 (assessment scale 1–5)

The student masters mathematical methods and is able to analyse mathematical tasks at the engineering level without problems.

Enrollment

21.11.2022 - 25.01.2023

Timing

09.01.2023 - 31.05.2023

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Distance learning

Unit

Faculty of Technology (LAB)

Campus

E-campus

Teaching languages
  • English
Seats

1 - 100

Degree programmes
  • Bachelor’s Degree Programme in Sustainable Solutions Engineering
Teachers
  • Päivi Porras
Scheduling groups
  • SSE (Size: 0. Open UAS: 0.)
Groups
  • TLTISSE22SV
Small groups
  • SSE

Learning outcomes

Student is able to:
- recognise different polynomial equations, functions, and polynomial graphics
- solve inequalities
- solve simultaneous equations with the software
- solve basic space vectors
- utilise space vectors
- solve exponential and logarithm functions

Implementation and methods of teaching

This course has online lectures based on timetable of Sustainability students in LAB University of Applied Sciences. Lectures are scheduled for Tuesdays at 12am - 2pm.

Material in moodle can also be studied without attending the lectures.

Learning material and recommended literature

will be announced at the beginning of the course

Contents

System of equations and matrices
Polynomial functions and inequalities
Geometry 3d
Vectors 3d (incl. directional cosines, dot product, and projection)
Exponential and logarithmic functions and equalities

Additional information for students: previous knowledge etc.

Basics of Mathematics in Technology or corresponding knowledge

Assessment criteria

Grading is informed in moodle.

Assessment scale

1-5

Assessment criteria: level 1 (assessment scale 1–5)

The student is familiar with mathematical methods and is able to perform simple mechanical calculation tasks.

Assessment criteria: level 3 (assessment scale 1–5)

The student understands the requirements of mathematical methods and is able to apply basic mathematics to some extent in engineering tasks.

Assessment criteria: level 5 (assessment scale 1–5)

The student masters mathematical methods and is able to analyse mathematical tasks at the engineering level without problems.

Enrollment

22.11.2021 - 09.01.2022

Timing

10.01.2022 - 29.04.2022

Number of ECTS credits allocated

3 op

Virtual portion

3 op

Mode of delivery

Distance learning

Unit

Faculty of Technology (LAB)

Campus

E-campus, Lahti

Teaching languages
  • English
Degree programmes
  • Bachelor's Degree Programme in Energy and Environmental Engineering (2014-2021)
Teachers
  • Päivi Porras
Scheduling groups
  • Luennot 1 (Size: 0. Open UAS: 0.)
Groups
  • TLTISSE21SV
Small groups
  • Lecturest 1

Learning outcomes

Student is able to:
- recognise different polynomial equations, functions, and polynomial graphics
- solve inequalities
- solve simultaneous equations with the software
- solve basic space vectors
- utilise space vectors
- solve exponential and logarithm functions

Implementation and methods of teaching

This course has online lectures based on timetable of Sustainability students in LAB University of Applied Sciences. Material in moodle can also be studied without attending the lectures.

Timing and attendance

Online lectures are on Tuesdays at 12.15pm - 2pm and on Wednesdays at 2.15pm - 4pm.

Learning material and recommended literature

will be announced at the beginning of the course

Contents

System of equations and matrices
Polynomial functions and inequalities
Geometry 3d
Vectors 3d (incl. directional cosines, dot product, and projection)
Exponential and logarithmic functions and equalities

Additional information for students: previous knowledge etc.

Basics of Mathematics in Technology or corresponding knowledge

Assessment criteria

will be discussed together

Assessment scale

1-5

Assessment criteria: level 1 (assessment scale 1–5)

The student is familiar with mathematical methods and is able to perform simple mechanical calculation tasks.

Assessment criteria: level 3 (assessment scale 1–5)

The student understands the requirements of mathematical methods and is able to apply basic mathematics to some extent in engineering tasks.

Assessment criteria: level 5 (assessment scale 1–5)

The student masters mathematical methods and is able to analyse mathematical tasks at the engineering level without problems.

Enrollment

19.11.2021 - 09.01.2022

Timing

03.01.2022 - 31.05.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology (LAB)

Campus

Lappeenranta Campus

Teaching languages
  • Finnish
Degree programmes
  • Bachelor's Degree Programme in Mechanical Engineering and Production Technology (2016-2021)
Teachers
  • Päivi Porras
  • Seppo Toivanen
Scheduling groups
  • Luennot 1 (Size: 0. Open UAS: 0.)
Groups
  • TLPRMEC21S
Small groups
  • Luennot 1

Learning outcomes

Student is able to:
- recognise different polynomial equations, functions, and polynomial graphics
- solve inequalities
- solve simultaneous equations with the software
- solve basic space vectors
- utilise space vectors
- solve exponential and logarithm functions

Implementation and methods of teaching

Contact lectures with Moodle assignments

Learning material and recommended literature

will be announced at the beginning of the course

Contents

System of equations and matrices
Polynomial functions and inequalities
Geometry 3d
Vectors 3d (incl. directional cosines, dot product, and projection)
Exponential and logarithmic functions and equalities

Additional information for students: previous knowledge etc.

Basics of Mathematics in Technology or corresponding knowledge

Assessment criteria

will be discussed together

Assessment scale

1-5

Assessment criteria: level 1 (assessment scale 1–5)

The student is familiar with mathematical methods and is able to perform simple mechanical calculation tasks.

Assessment criteria: level 3 (assessment scale 1–5)

The student understands the requirements of mathematical methods and is able to apply basic mathematics to some extent in engineering tasks.

Assessment criteria: level 5 (assessment scale 1–5)

The student masters mathematical methods and is able to analyse mathematical tasks at the engineering level without problems.

Enrollment

19.11.2021 - 09.01.2022

Timing

01.01.2022 - 31.07.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Faculty of Technology (LAB)

Campus

Lappeenranta Campus

Teaching languages
  • English
Degree programmes
  • Bachelor's Degree Programme in Industrial Information Technology
Teachers
  • Päivi Porras
Scheduling groups
  • Luennot 1 (Size: 0. Open UAS: 0.)
Groups
  • TLPRIIT21S
Small groups
  • Lectures 1

Learning outcomes

Student is able to:
- recognise different polynomial equations, functions, and polynomial graphics
- solve inequalities
- solve simultaneous equations with the software
- solve basic space vectors
- utilise space vectors
- solve exponential and logarithm functions

Implementation and methods of teaching

Contact lectures with Moodle assignments

Learning material and recommended literature

will be announced at the beginning of the course

Contents

System of equations and matrices
Polynomial functions and inequalities
Geometry 3d
Vectors 3d (incl. directional cosines, dot product, and projection)
Exponential and logarithmic functions and equalities

Additional information for students: previous knowledge etc.

Basics of Mathematics in Technology or corresponding knowledge

Assessment criteria

will be discussed together

Assessment scale

1-5

Assessment criteria: level 1 (assessment scale 1–5)

The student is familiar with mathematical methods and is able to perform simple mechanical calculation tasks.

Assessment criteria: level 3 (assessment scale 1–5)

The student understands the requirements of mathematical methods and is able to apply basic mathematics to some extent in engineering tasks.

Assessment criteria: level 5 (assessment scale 1–5)

The student masters mathematical methods and is able to analyse mathematical tasks at the engineering level without problems.